Yusuke Nojima
Yusuke Nojima
Associate Professor of Computer Science and Intelligent Systems, Osaka Prefecture University
Dirección de correo verificada de cs.osakafu-u.ac.jp - Página principal
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Evolutionary many-objective optimization: A short review
H Ishibuchi, N Tsukamoto, Y Nojima
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
8922008
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
H Ishibuchi, Y Nojima
International Journal of Approximate Reasoning 44 (1), 4-31, 2007
4172007
A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions
M Fazzolari, R Alcala, Y Nojima, H Ishibuchi, F Herrera
IEEE Transactions on Fuzzy systems 21 (1), 45-65, 2012
2802012
Performance of decomposition-based many-objective algorithms strongly depends on Pareto front shapes
H Ishibuchi, Y Setoguchi, H Masuda, Y Nojima
IEEE Transactions on Evolutionary Computation 21 (2), 169-190, 2016
2282016
Behavior of multiobjective evolutionary algorithms on many-objective knapsack problems
H Ishibuchi, N Akedo, Y Nojima
IEEE Transactions on Evolutionary Computation 19 (2), 264-283, 2014
2122014
Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations
H Ishibuchi, Y Sakane, N Tsukamoto, Y Nojima
2009 IEEE International Conference on Systems, Man and Cybernetics, 1758-1763, 2009
1392009
Modified distance calculation in generational distance and inverted generational distance
H Ishibuchi, H Masuda, Y Tanigaki, Y Nojima
International conference on evolutionary multi-criterion optimization, 110-125, 2015
1342015
Simultaneous use of different scalarizing functions in MOEA/D
H Ishibuchi, Y Sakane, N Tsukamoto, Y Nojima
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
1222010
Adaptation of scalarizing functions in MOEA/D: An adaptive scalarizing function-based multiobjective evolutionary algorithm
H Ishibuchi, Y Sakane, N Tsukamoto, Y Nojima
Evolutionary Multi-Criterion Optimization, 438-452, 2009
1212009
Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions
R Alcalá, Y Nojima, F Herrera, H Ishibuchi
Soft Computing-A Fusion of Foundations, Methodologies and Applications 15 …, 2011
1062011
Many-objective test problems to visually examine the behavior of multiobjective evolution in a decision space
H Ishibuchi, Y Hitotsuyanagi, N Tsukamoto, Y Nojima
Parallel Problem Solving from Nature–PPSN XI, 91-100, 2011
1032011
Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems
H Ishibuchi, N Tsukamoto, Y Hitotsuyanagi, Y Nojima
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
892008
Incorporation of scalarizing fitness functions into evolutionary multiobjective optimization algorithms
H Ishibuchi, T Doi, Y Nojima
Parallel Problem Solving from Nature-PPSN IX, 493-502, 2006
832006
Optimization of scalarizing functions through evolutionary multiobjective optimization
H Ishibuchi, Y Nojima
Evolutionary Multi-Criterion Optimization, 51-65, 2007
822007
An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization
H Ishibuchi, K Narukawa, N Tsukamoto, Y Nojima
European Journal of Operational Research 188 (1), 57-75, 2008
762008
Evolving pet robot with emotional model
N Kubota, Y Nojima, N Baba, F Kojima, T Fukuda
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on 2, 1231 …, 2000
752000
Comparison between single-objective and multi-objective genetic algorithms: Performance comparison and performance measures
H Ishibuchi, Y Nojima, T Doi
2006 IEEE International Conference on Evolutionary Computation, 1143-1150, 2006
732006
Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions
H Ishibuchi, N Tsukamoto, Y Sakane, Y Nojima
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
712010
Behavior of EMO algorithms on many-objective optimization problems with correlated objectives
H Ishibuchi, N Akedo, H Ohyanagi, Y Nojima
2011 IEEE Congress of Evolutionary Computation (CEC), 1465-1472, 2011
682011
Parallel distributed hybrid fuzzy GBML models with rule set migration and training data rotation
H Ishibuchi, S Mihara, Y Nojima
IEEE Transactions on fuzzy systems 21 (2), 355-368, 2012
662012
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Artículos 1–20